..., the performance of emotion detection is evaluated using three different machine learning classifiers, such as support vector machine, k-nearest neighbor and random forest. The results are compared from both intra-subject and inter-subject classifications with parameter tuning to obtain the best...

... (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic nicknames. However, the majority of the literature researching the subject deals with non-Arabic languages. Moreover, the features involved in identifying radical Islamic content are shallow and the search or classification terms...

.... Originality/value The best ML algorithm random forest with 85% is selected to support educators in implementing various pedagogical practices to improve students’ learning. Machine learning Classification Design research Higher education Learning management systems (LMS) LMS data Student attrition...

... is presented below. Satchidananda Dehuri can be contacted at: satchi.lapa@gmail.com Pattern recognition Imputation Classification Radial basis function neural networks Teaching learning based optimization k-Nearest neighbor The occurrence of missing values and irrelevant features...

...Alaa Tharwat Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The analysis of such metrics and its significance must be interpreted correctly for evaluating different learning algorithms...